Maximum Entropy Niche-Based Modeling (Maxent) of Potential Geographical Distributions of Lobesia Botrana (Lepidoptera: Tortricidae) in China - Computer and Computing Technologies in Agriculture V - Part III Access content directly
Conference Papers Year : 2012

Maximum Entropy Niche-Based Modeling (Maxent) of Potential Geographical Distributions of Lobesia Botrana (Lepidoptera: Tortricidae) in China

Abstract

Lobesia botrana (Denis & Schiffermüller, 1775) (Lepidoptera: Tortricidae) is one of the most destructive pests of grape in the Palearctic region. The potential geographical distribution of this pest is important to agriculture security. In this study, Maxent and ArcGIS were used to project the potential geographical distribution of L. botrana in China under the current climate. The result indicated that L. botrana was suitable in most parts of middle and southern China and the Maxent model was highly accurate for the AUC value of 0.970. Jackknife analysis revealed that low temperature influence the potential distribution of L. botrana. This study would be a decision-support of surveillance and quarantine measures.
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hal-01361144 , version 1 (06-09-2016)

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Wencheng Lv, Zhihong Li, Xingxia Wu, Wenlong Ni, Weiwei Qv. Maximum Entropy Niche-Based Modeling (Maxent) of Potential Geographical Distributions of Lobesia Botrana (Lepidoptera: Tortricidae) in China. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.239-246, ⟨10.1007/978-3-642-27275-2_26⟩. ⟨hal-01361144⟩
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